Triple

T23313260
Position Surface form Disambiguated ID Type / Status
Subject LFS E590636 entity
Predicate crashRecoveryMethod P19129 FINISHED
Object log replay LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: log replay | Statement: [LFS, crashRecoveryMethod, log replay]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: crashRecoveryMethod
Context triple: [LFS, crashRecoveryMethod, log replay]
  • A. recoveryMethod chosen
    Indicates the method or process by which something is restored, retrieved, or brought back to a previous or functional state.
  • B. recoveryConfiguration
    Indicates a configuration relationship specifying how an entity should be restored, recovered, or brought back to an operational state after failure or disruption.
  • C. recoverySystem
    Indicates a system or mechanism responsible for restoring a previous state, function, or data after a failure, loss, or disruption.
  • D. recoveryArea
    Indicates that one entity serves as the designated place or zone where another entity undergoes recovery or restoration after an event or process.
  • E. recoveryCapability
    Indicates the ability of an entity to return to a normal or functional state after experiencing damage, failure, or disruption.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972ca70481909e2415c65964210a completed April 29, 2026, 5:29 a.m.
PD Predicate disambiguation batch_69effcf8ca2c8190887d4f4656617d21 completed April 28, 2026, 12:19 a.m.
Created at: April 17, 2026, 5:06 p.m.